Article
Environmental Sciences
Jingbing Zhang, Hongchen Wang, Yuting Shao, Guo-hua Liu, Lu Qi, Wenyue Dang, Junli Yuan, Yinghao Li, Zhiheng Xia
Summary: The wastewater treatment industry in urban China faces common problems such as insufficient drainage network length and low water quality ratio. There is also a gap in construction of wastewater treatment facilities compared to developed countries. This study investigates the common problems that hinder the operation efficiency of wastewater treatment plants and proposes three countermeasures, including refinement design, optimization facilities, and reasonable process control.
Article
Environmental Sciences
Yiming Wang, Xudong Zhang, Dazhen Zhang, Guangtao Fu, Xin Dong, Siyu Zeng
Summary: Rapid urbanization poses challenges to urban water pollution, calling for efficient management of urban drainage systems. This study developed a multi-objective robust optimization model and applied it to a city in northern China, showing that the model can generate optimal designs with robust performance in terms of structural uncertainty.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Civil
M. N. Torres, J. E. Fontecha, J. L. Walteros, Z. Zhu, Z. Ahmed, J. P. Rodriguez, A. J. Rabideau
Summary: This study proposes a method for optimizing green infrastructure location planning using a surrogate model, which proved to be efficient in reducing runoff and overflows issues in Bogota. By implementing GIs in a portion of the city, significant reductions in runoff, CSO, and SSO were achieved.
JOURNAL OF HYDROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Nabil Hocini, Olivier Payrastre, Francois Bourgin, Eric Gaume, Philippe Davy, Dimitri Lague, Lea Poinsignon, Frederic Pons
Summary: Flash floods in headwater catchments can cause catastrophic damage globally. Automated methods for flood inundation mapping at a regional scale are important for identifying threatened areas and predicting potential impacts. This study compared three mapping methods and found that hydraulic models outperformed the HAND/MS approach in estimating flooded areas.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Stephanie Aparicio, Rebecca Serna-Garcia, Aurora Seco, Jose Ferrer, Luis Borras-Falomir, Angel Robles
Summary: The study assessed a microalgae model applied to a Membrane Photobioreactor (MPBR) pilot plant through a global sensitivity and uncertainty analysis. The influential factors of the model were identified, calibrated offline or online, and the model's uncertainty was evaluated. The results indicated a need for offline calibration methods to improve model performance.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Management
Ahmed Saif, Erick Delage
Summary: This study focuses on a distributionally robust version of the capacitated facility location problem, addressing uncertainties in customer demands through various approximation schemes and algorithms. Numerical experiments on benchmark instances demonstrate the efficiency of exact solution algorithms and the performance guarantee of the solutions on out-of-sample data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Environmental Sciences
Soeren Hornig, Katrin Bauerfeld, Maike Beier
Summary: Currently, annual loads from long-term series simulations are commonly used to evaluate rainwater management and treatment measures, although the temporal distribution of pollution and quantity has a noticeable impact on treatment performance. A joint research project in Lower Saxony established measurement devices and scenario studies to dynamically simulate output values in relation to rainfall events, catchment characteristics, and dry periods. First measurement results of surface runoff qualities in an urban sub-catchment in Braunschweig, Germany were presented, along with correlation analysis identifying additional explanatory parameters for the first flush effect.
Article
Computer Science, Interdisciplinary Applications
Pingping Luo, Manting Luo, Fengyue Li, Xiaogang Qi, Aidi Huo, Zhenhong Wang, Bin He, Kaoru Takara, Daniel Nover, Yihe Wang
Summary: This study reviews urban flood numerical simulations and identifies accuracy and computational efficiency as the two key areas hindering the improvement of model quality. The 1D-2D coupling model, finite volume method, unstructured meshing method, and hybrid parallel computing applications are found to be the most effective strategies. Furthermore, the complex coupling of models and the lack of validation data remain crucial challenges in the development of urban flood modeling.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Engineering, Environmental
Dazhen Zhang, Xin Dong, Siyu Zeng, Xu Wang, Daoxiao Gong, Li Mo
Summary: Decentralization is considered a promising solution for sustainable urban wastewater systems in the future. However, the centralization vs. decentralization debate during the planning stage remains unresolved due to the system's complexity and multiple design objectives. This paper introduces the Sustainable Urban Wastewater System Generator (SUWStor) as a tool to address this issue. Using a graph representation and the ant colony algorithm, SUWStor can generate Pareto optimal solutions for system design considering capital cost, operational energy consumption, and water reuse capacity. The model is applied to a 100-square-km new city in China, resulting in significant cost reduction and energy savings while maintaining water reuse capacity.
Article
Engineering, Electrical & Electronic
Hao Sun, Ming Li, Lei Zuo, Peng Zhang
Summary: Traditional networked radar systems for target tracking often face heavy data processing burden and neglect sensor location uncertainties. This paper introduces a joint power allocation and measurement selection strategy for radar networks considering sensor uncertainties. By utilizing a distributed fusion architecture and formulating the strategy as a bi-objective optimization problem, the proposed approach outperforms traditional allocation strategies in numerical simulations.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Environmental Sciences
Ivar Annus, Anatoli Vassiljev, Nils Kandler, Katrin Kaur
Summary: The study introduced an automated module for calibrating urban drainage system models with 12 additional calibration parameters compared to existing solutions. The module included gradient optimization and trial-and-error methods for adjusting parameters simultaneously. The user interface built in MS Excel allows users to select preferred parameters, optimization methods, and value limits for calibration. Testing in two scenarios showed that the module provides a reasonably good fit for hydraulic models with low deviation between modeled and measured flow rates.
Article
Computer Science, Hardware & Architecture
Levent Eriskin
Summary: In this study, a novel approach for locating heterogeneous sensor networks under target uncertainty is proposed. Utilizing integer nonlinear programming, linear approximation, and p-robustness concept, the method addresses the point coverage problem efficiently. The research introduces a compromise solution considering multiple scenarios simultaneously and ensures predefined thresholds for regret percentages. The proposed robust optimization approach provides a practical solution to address target location uncertainty in sensor network deployment.
Article
Energy & Fuels
Reza Lotfi, Nooshin Mardani, Gerhard-Wilhelm Weber
Summary: This study utilizes robust bi-level programming technique and game theory to locate renewable energy sites, demonstrating that the incorporation of uncertainties can enhance energy generation and supplier's profit. Sensitivity analysis shows that increasing uncertainty decreases generated energy but increases supplier's profit; raising the discounting rate gradually diminishes supplier's profit; as the scale of problems increases, both generated energy and supplier's profit are boosted.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Management
Beste Basciftci, Shabbir Ahmed, Siqian Shen
Summary: This paper discusses a distributionally robust facility location problem, highlighting the significant impact of facility location decisions on customer demand. The proposed decision-dependent distributionally robust optimization model demonstrates superior performance in profit and service quality across different scenarios.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Jairo Arturo Torres-Matallana, Ulrich Leopold, Gerard B. M. Heuvelink
Summary: Uncertainties are often ignored in urban water systems modeling, but a Monte Carlo uncertainty propagation analysis can effectively assess the uncertainty contributions of urban drainage modeling, which is crucial for urban drainage system design and environmental protection.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Mariacrocetta Sambito, Gabriele Freni
Summary: In the urban drainage sector, the implementation of a chemical monitoring network is necessary to promptly detect and contain contamination events in sewers. Sensor location optimization exercises are dependent on probabilistic methods and initial assumptions on node eligibility, with pre-screening and 'grey' information shown to reduce computational effort or improve location efficiency. The nature of contamination significantly impacts monitoring efficiency and efforts to reach optimality.
Review
Green & Sustainable Science & Technology
Mariacrocetta Sambito, Alessandro Severino, Gabriele Freni, Larysa Neduzha
Summary: Urbanization has led to the replacement of vegetated territory by waterproof surfaces, resulting in greater outflows and lower infiltration. Pavement systems with permeable surfaces can reduce runoff volume. This paper reviews the methods of analyzing the hydrological and environmental performance of pavement systems in the context of urban drainage and regarding their durability, based on studies published in the last decade.
Article
Instruments & Instrumentation
J. Alt, D. Arutinov, O. Bezshyyko, T. Bretz, A. Brignoli, A. Conaboy, P. Deucher, F. De Paola, G. del Giudice, C. di Cristo, O. Fecarotta, A. Fiorillo, H. Fischer, H. Glueckler, C. Grewing, A. Hollnagel, H. Lacker, A. Miano, G. Natour, V. Orlov, A. Prota, F. Rehbein, A. Reghunath, A. Salzano, M. Schaaf, C. Scharf, J. Schmidt, M. Schumann, A. Vagts, S. van Waasen, M. Wurm
Summary: This article investigates the material properties of a liquid-scintillator based surround background tagger (SBT) by measuring the surface tension of a mixture of linear alkylbenzene and diphenyloxazole, as well as the pure alkylbenzene.
JOURNAL OF INSTRUMENTATION
(2022)
Article
Engineering, Civil
A. Simone, C. Di Cristo, O. Giustolisi
Summary: This study analyzed the performance of isolation valve systems in Water Distribution Networks (WDNs) using complex network theory and assessed the importance of the segments generated by valve shutdowns. By applying WDN-relevance-based betweenness centrality, the study proposed an improved representation of the segment graph and provided guidance for the design of isolation valve systems.
WATER RESOURCES MANAGEMENT
(2022)
Article
Environmental Sciences
A. Simone, A. Cesaro, G. Del Giudice, C. Di Cristo, O. Fecarotta
Summary: Urban drainage networks (UDNs) are important infrastructures for protecting community health and safety. In recent years, complex network theory (CNT) has been used to analyze urban systems. This study evaluates the potential of CNT approaches for assessing the vulnerability of UDNs and planning monitoring systems. The results suggest that tailored metrics based on CNT can effectively analyze vulnerability/resilience, monitoring design, and contaminant/pathogenic spread in UDNs.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Cristiana Di Cristo, Oreste Fecarotta, Michele Iervolino, Andrea Vacca
Summary: This paper investigates the force produced by a dam-break wave of mud impacting against a rigid wall and analyzes it using numerical methods. The results show that there exists a minimum wall distance, beyond which the peak force does not increase anymore. The paper also provides an estimation of the maximum peak force for wall distances smaller than the minimum value.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Stefania Piazza, Mariacrocetta Sambito, Gabriele Freni
Summary: The EPANET model is commonly used for modeling hydraulic behavior and water quality in water distribution networks. Several versions of the model have been developed to improve water quality modeling, including solving the problem of dispersive transport and considering multiple interacting species. This study proposes a novel integration of the EPANET-DD model, which can accurately model diffusive-dispersive transport mechanisms.
Article
Environmental Sciences
Stefania Piazza, Mariacrocetta Sambito, Gabriele Freni
Summary: Urban looped water distribution systems are vulnerable to water quality issues. An efficient monitoring system and suitable model are needed to prevent contamination events. Current studies neglect diffusive transport, but it may be significant in looped systems with laminar flows. This study compared numerical models and experimental results, showing significant differences in sensor placement based on the model used.
Editorial Material
Environmental Sciences
Mariacrocetta Sambito, Gabriele Freni
Article
Environmental Sciences
Antonietta Simone, Cristiana Di Cristo, Valeria Guadagno, Giuseppe Del Giudice
Summary: This paper proposes a topological backtracking strategy for optimal monitoring of sewer networks, which does not require hydraulic simulation. The strategy aims to solve the problems of sensor location and network coverage in wastewater monitoring, with effectiveness and advantages in terms of efficiency and resource saving.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Mariacrocetta Sambito, Stefania Piazza, Gabriele Freni
Summary: A generic water system is made up of a series of works to collect, transport, store and distribute water to meet user needs. In areas with high altitude differences, the potential energy of water is high and needs to be dissipated. The study evaluates the results of using a stochastic approach to solve the multi-objective optimization problem of PATs in water systems, with different methods performing better in different contexts.
